Real-time use of multiple parallel automatic speech recognition (ASR) modules in a conversational artificial intelligence (AI) architecture

A server comprising:

• one or more processors;
• and
• one or more computer-readable storage media to store instructions executable by the one or more processors to perform operations comprising:
• initiating, by a conversational artificial intelligence, a conversation with a human;
• receiving, by the conversational artificial intelligence, a human response from the human;
• augmenting the human response to create an augmented response;
• determining a context of the conversation;
• providing the context of the conversation and the augmented response to a plurality of automatic speech recognition (ASR) modules that individually process the augmented response in parallel;
• receiving a plurality of intermediate text outputs from the plurality of ASR modules, wherein individual intermediate text outputs of the plurality of intermediate text outputs are received from individual modules of the plurality of ASR modules;
• performing in real-time, by a reconciliation artificial intelligence, a contextual reconciliation of the plurality of intermediate text outputs based at least in part on the context of the conversation and on a medical history of the human to create a final text output;
• and
• generating, by the conversational artificial intelligence, an artificial intelligence response to the human based at least in part on the final text output.

A non-transitory memory device to store instructions executable by one or more processors to perform operations comprising:

• initiating, by a conversational artificial intelligence, a conversation with a human;
• receiving, by the conversational artificial intelligence, a human response from the human;
• augmenting the human response to create an augmented response;
• determining a context of the conversation;
• providing the context of the conversation and the augmented response to a plurality of automatic speech recognition (ASR) modules that individually process the augmented response in parallel;
• receiving a plurality of intermediate text outputs from the plurality of ASR modules, wherein individual intermediate text outputs of the plurality of intermediate text outputs are received from individual modules of the plurality of ASR modules;
• performing in real-time, by a reconciliation artificial intelligence, a contextual reconciliation of the plurality of intermediate text outputs based at least in part on the context of the conversation and on a medical history of the patient to create a final text output;
• and
• generating, by the conversational artificial intelligence, an artificial intelligence response to the human based at least in part on the final text output.